Global Datathon Finals Online Streaming

Posted srivatsav, chith, tushars95, yasuo, liad, theminer, pepe Mentors: drsubhabahapal1 CommentPosted in Datathons SolutionsDatathons Solutions

Datathon Telenor Solution – Ravens for Communication

It is a very well known fact that Exploratory Data Analysis is cornerstone of Data Analysis.
On the analysis of data it is evident that Brass Raven Birdy as the most failed and the Metallic Raven Sunburst Polly is the most successful raven. Also Targeryan family has the most Raven fails whereas Baelish family has the least failures,and among the family of Baelish, Peter Baelish has the most failure rate and Euron has the least failures.
ARIMA model is used for predicting the number of failures for the next 4 days.

Posted ranajay, vasuraj, rameezraza, mjk96, vishaldeshwal Mentors: drsubhabahapal2 CommentsPosted in Prediction systemsPrediction systems

Datathon Telenor Solution – Winner Winner-Data Dinner- The Telenor Case

Based on one month data with flight fails, we have to make time-series analysis and predict the future amount of fails and also to find out how many of the ravens sent are not going to make it. Communication being an essential part of the human existence and lives are solely dependent on regular communication,it is necessary to find out the failures,so as to improve them and make the communication system better and to predict further flaws in the system and correct them.As we dig deep into this data,we will find valuable insights that would help us to improve the failure rate and downgrade it,so as to improve the success rate and provide a better working system to work on in the near future.

Posted gourang, sanjeevbiswas05, sunny, rhishikesh, sreekar, metodinikolov, va1io, tomislavk Mentors: drsubhabahapal2 CommentsPosted in Datathons SolutionsDatathons Solutions

Datathon Telenor Solution – WRANGLING WITH DATA DROPS

This article proposes very tractable approach to modelling changes in regime .The parameters of Time & Date are viewed in the outcome for this analysis.
In the 21st century cell phones are the most commonly used and important wireless technology. Cell phones are so common that it can be seen in everyone’s hand doesn’t matter what age group that individual belongs to, whether that individual is old, young or teenager belonging to any terrain .India has a population of 1.32 billion and comprises of nearly 340 million cell phones. It is used for communication ,messaging , downloading and uploading data on the internet.
There are times when an user counter issues in communications like termination of call,data drop in between of communication, wrong connections, etc. which may have an impact on the overall experience of the network subscribers. The telecom service providers have to implement certain data management technology to improve their infrastructure to minimize the effect of call drop and data drop to provide quality services to their customers.
Nearly all signals contain energy at harmonic frequencies, in addition to the energy at the fundamental frequency. If all the energy in a signal is contained at the fundamental frequency, then that signal is a perfect sine wave. The telecommunication signals also contains many harmonics which are affected a lot because of semiconductor interfacing , physical or digital barriers.
Keywords- Data drop,Call drop

Posted omki, abhinandanarya, junaid, apoorvakesarwani Mentors: drsubhabahapal6 CommentsPosted in Prediction systemsPrediction systems

Datathon NSI Solution – The curious case of ‘Household Budget Survey(HBS)’

The National Statistical Institute of Bulgaria (NSI) conducts annually a Household Budget Survey (HBS) with an objective to get reliable and scientifically founded data on the income, expenditure, consumption and other elements of the living standard of the population as well as changes, which have occurred during the years. NSI is considering a change in the periodicity of the Household Budget Survey from yearly to once on every five years,In order to optimize the cost of carrying out the survey. Hence We are creating a model which will predict household expenditure for the next four years using linear regression model and time series. The algorithms that we will be taking help from are linear regression model & Autoregressive integrated moving average(ARIMA). So lets not waste any time and move on with it !

Posted prasad, ananya, deveshtripathi, aashiagarwal, metodinikolov, va1io, tomislavk Mentors: drsubhabahapalLeave a commentPosted in Datathons SolutionsDatathons Solutions

Datathon Telenor Solution – Analysis Of Mobile Data Connectivity Delays

Problem statement :This data set is regarding time series analysis on failure rate of ravens sending the messages from king’s landing to the north . This case study is an analogy on Telenor telecommunications and Game of Thrones . Due to the obstacles that caused the failure rate , various techniques and schemes are employed in the planning, design and optimization of raven networks to combat these propagation effects.

We have used R-studio for Exploratory Data Analysis.
As per the tasks given to us , we concluded that
1.Brass Raven Birdy has been delayed for the most number of times , followed by Brown raven ruby and Yellow raven Rio,
while Metallic Sunburst Raven Polly has been delayed for the least number of times , followed by Green Sheen raven Azul and Less combative raven zazu.
2. The family with most fails is Targerian , while with least fails is Lannister
3. The family Member with most fails is Petyr Baelish and with least fails is Euron .
We have done further analysis on predicting the fails for the next four days using TIME SERIES ANALYSIS